A UK best-practice approach for extreme sea-level analysis along complex topographic coastlines

被引:78
作者
Batstone, Crispian [1 ]
Lawless, Mark [1 ]
Tawn, Jonathan [2 ]
Horsburgh, Kevin [3 ]
Blackman, David [3 ]
McMillan, Alastair [4 ]
Worth, David [4 ]
Laeger, Stefan [5 ]
Hunt, Tim [6 ]
机构
[1] JBA Consulting, Skipton BD23 3AE, England
[2] Univ Lancaster, Fylde Coll, Dept Math & Stat, Lancaster LA1 4YF, England
[3] Natl Oceanog Ctr, Liverpool L3 5DA, Merseyside, England
[4] Haskoning UK Ltd, Peterborough PE3 8DW, Cambs, England
[5] Environm Agcy, Exeter EX2 7LQ, Devon, England
[6] Environm Agcy, Exminster EX6 8AS, England
关键词
Extreme sea-levels; Skew surge; Joint probability; Coastal flooding; Tide gauge records; UK; ESTIMATING PROBABILITIES; CLIMATE-CHANGE; IMPACTS; COASTAL; MODEL; RISE;
D O I
10.1016/j.oceaneng.2013.02.003
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The impacts of storm surges represent an increasing risk to the world's coastlines. Coastal planners require accurate estimates of flood risk in order to provide suitable defensive measures. Therefore a reliable methodology is required for the estimation of extreme sea-level probabilities at high spatial resolution along coastlines. This paper describes a new method for estimating these probabilities, with application to the UK coastline. The method consists of two components: the estimation of extreme sea-levels by applying a newly developed statistical method, termed the Skew Surge Joint Probability Method, with tide gauge records, and the use of hindcast sea-levels to dynamically interpolate these estimates around complex coastlines. The skew surge parameter is a more reliable indicator of meteorological impacts on sea-level than the non-tidal residual used in the Revised Joint Probability Method, as previously used in the United Kingdom. The method has been applied to the UK coastline to provide a database of extreme sea-level probabilities for the Environment Agency for England and Wales and the Scottish Environment Protection Agency. The database will be used to inform coastal defense strategy, flood mapping and forecasting and to support policy, implementation and operational decision-making. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:28 / 39
页数:12
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